1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
|
#include "tensorflow/core/common_runtime/threadpool_device.h"
#include "tensorflow/core/common_runtime/local_device.h"
#include "tensorflow/core/framework/allocator.h"
#include "tensorflow/core/framework/device_base.h"
#include "tensorflow/core/framework/op_kernel.h"
#include "tensorflow/core/framework/types.h"
#include "tensorflow/core/graph/types.h"
#include "tensorflow/core/lib/hash/hash.h"
#include "tensorflow/core/platform/port.h"
#include "tensorflow/core/platform/tracing.h"
#include "tensorflow/core/public/session_options.h"
namespace tensorflow {
ThreadPoolDevice::ThreadPoolDevice(const SessionOptions& options,
const string& name, Bytes memory_limit,
BusAdjacency bus_adjacency,
Allocator* allocator)
: LocalDevice(options, Device::BuildDeviceAttributes(
name, DEVICE_CPU, memory_limit, bus_adjacency),
allocator),
allocator_(allocator) {}
ThreadPoolDevice::~ThreadPoolDevice() {}
void ThreadPoolDevice::Compute(OpKernel* op_kernel, OpKernelContext* context) {
if (port::Tracing::IsActive()) {
// TODO(pbar) We really need a useful identifier of the graph node.
const uint64 id = Hash64(op_kernel->name());
port::Tracing::ScopedActivity region(port::Tracing::EventCategory::kCompute,
id);
op_kernel->Compute(context);
} else {
op_kernel->Compute(context);
}
}
Allocator* ThreadPoolDevice::GetAllocator(AllocatorAttributes attr) {
return allocator_;
}
Status ThreadPoolDevice::MakeTensorFromProto(
const TensorProto& tensor_proto, const AllocatorAttributes alloc_attrs,
Tensor* tensor) {
Tensor parsed(tensor_proto.dtype());
if (!parsed.FromProto(cpu_allocator(), tensor_proto)) {
return errors::InvalidArgument("Cannot parse tensor from proto: ",
tensor_proto.DebugString());
}
*tensor = parsed;
return Status::OK();
}
} // namespace tensorflow
|
